Abstract
This article presents an image processing application for hand detection and tracking using the 4-connected skeleton of the segmentation mask. The system has been designed to be used with techniques of virtual reality to develop an interactive application for phantom limb pain reduction in therapeutic treatments.
One of the major contributions is the design of a fast and accurate skeleton extractor, that has proven to be faster than those available in the literature. The skeleton allows the system to precisely detect the position of all the interest points of the hand (namely the fingers and the hand center).
The system, composed of both the hand detector and tracker, and the virtual reality application, can work in real-time, allowing the patient to watch the virtual image of his own hand on a screen.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Breuer, P., Eckes, C., Müller, S.: Hand Gesture Recognition with a Novel IR Time-of-Flight Range Camera–A Pilot Study. In: Gagalowicz, A., Philips, W. (eds.) MIRAGE 2007. LNCS, vol. 4418, pp. 247–260. Springer, Heidelberg (2007)
Chang, C., Lin, C.: LIBSVM: a library for support vector machines (2001), software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
Cole, J., Crowle, S., Austwick, G., Slater, D.H.: Exploratory findings with virtual reality for phantom limb pain; from stump motion to agency and analgesia. Disability and Rehabilitation 31(10), 846–854 (2009)
Elgammal, A., Muang, C., Hu, D.: Skin detection - a short tutorial. In: Encyclopedia of Biometrics (2009)
Gómez-Moreno, H., Maldonado-Bascón, S., Gil-Jiménez, P., Lafuente-Arroyo, S.: Goal evaluation of segmentation algorithms for traffic sign recognition, vol. 11(4), pp. 917–930 (July 2010)
González, R., Woods, R.: Digital Image Processing. Addison-Wesley (1993)
von Hardenberg, C., Bérard, F.: Bare-hand human-computer interaction. In: Proceedings of the 2001 Workshop on Perceptive user Interfaces, PUI 2001, pp. 1–8 (2001)
Hsieh, C.C., Liou, D.H., Lee, D.: A real time hand gesture recognition system using motion history image. In: 2010 2nd International Conference on Signal Processing Systems (ICSPS), vol. 2, pp. V2-394–V2-398 (July 2010)
Imai, A., Shimada, N., Shirai, Y.: 3-d hand posture recognition by training contour variation. In: Proceedings of Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 895–900 (May 2004)
Isaacs, J., Foo, J.: Hand pose estimation for american sign language recognition. In: Southern Symposium on System Theory, pp. 132–136 (2004)
Lakshmi, J.K., Punithavalli, M.: A survey on skeletons in digital image processing. Digital Image Processing, 260 – 269 (2009)
Letessier, J., Bérard, F.: Visual tracking of bare fingers for interactive surfaces. In: Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, UIST 2004, pp. 119–122. ACM (2004)
Lewis, J.S., Kersten, P., McCabe, C.S., McPherson, K.M., Blake, D.R.: Body perception disturbance: A contribution to pain in complex regional pain syndrome. In: CRPS (2007)
McCabe, C.S., Haigh, R.C., Ring, E.F., Halligan, P.W., Wall, P.D., Blake, D.R.: A controlled pilot study of the utility of mirror visual feedback in the treatment of complex regional pain syndrome (type 1). Rheumatology 42(1), 97–101 (2003)
Murray, C.D., Patchick, E., Pettifer, S., Howard, T., Caillette, F., Kulkarni, J., Bamford, C.: Investigating the efficacy of a virtual mirror box in treating phantom limb pain in a sample of chronic sufferers. Disabil Human Dev. 5(3), 227–234 (2006)
Nope, R., Sandra, E., Humberto Loaiza, C., Eduardo Caicedo, B.: Estudio omparativo de técnicas para el reconocimiento de gestos por visión artificial. Avances en Sistemas e Informtica 5(3) (2009)
Oikonomidis, I., Nikolaos, K., Argyros, A.A.: Efficient model-based 3d tracking of hand articulations using kinect. In: Tracking Hand Articulations using Kinect (2011)
Pugeault, N., Bowden, R.: Spelling it out: Real-time ASL fingerspelling recognition. In: IEEE Workshop on Consumer Depth Cameras for Computer Vision (2011)
Ren, Z., Meng, J., Yuan, J., Zhang, Z.: Robust hand gesture recognition with kinect sensor. In: Proceedings of the 19th ACM International Conference on Multimedia, MM 2011, pp. 759–760. ACM (2011)
Yoruk, E., Konukoglu, E., Sankur, B., Darbon, J.: Shape-based hand recognition. IEEE Transactions on Image Processing 15(7), 1803–1815 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gil-Jiménez, P., Losilla-López, B., Torres-Cueco, R., Campilho, A., López-Sastre, R. (2012). Hand Detection and Tracking Using the Skeleton of the Blob for Medical Rehabilitation Applications. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-31298-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31297-7
Online ISBN: 978-3-642-31298-4
eBook Packages: Computer ScienceComputer Science (R0)